{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Replaying the Interaction Dataset\n",
    "\n",
    "This notebook shows how to use the interaction dataset in bark. Details on the dataset: https://arxiv.org/abs/1910.03088"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bark.runtime.scenario.scenario_generation.interaction_dataset_scenario_generation import \\\n",
    "    InteractionDatasetScenarioGeneration\n",
    "from bark.runtime.commons.parameters import ParameterServer\n",
    "from bark.runtime.viewer.matplotlib_viewer import MPViewer\n",
    "from bark.runtime.viewer.video_renderer import VideoRenderer\n",
    "import os\n",
    "import os.path\n",
    "import argparse\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Make sure you have access to the repository `interaction_dataset_fortiss_internal` and make it available by commenting out the command \n",
    "```\n",
    "git_repository(\n",
    " name = \"interaction_dataset_fortiss_internal\",\n",
    " commit = \"4152cdddcb04efa9a54524f9d737d1e89b1eafad\",\n",
    " remote = \"https://git.fortiss.org/autosim/interaction_dataset\"\n",
    ")\n",
    "```\n",
    "\n",
    "in the top level Workspace file.\n",
    "\n",
    "Then, start the notebook server with `bazel run docs/tutorials:run --define interaction_dataset_present=true`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here, we specify which slize of the dataset shall be loaded. **Note that the files have to exist!** The dataset itself is not included in bark! We here specify the parameters:\n",
    "- The map: \"MapFilename\"\n",
    "- The vehicle trajectories: \"TrackFilename\"\n",
    "- Which vehicles: \"TrackIds\"\n",
    "- Start time: \"StartTs\"\n",
    "- End Time: \"EndTs\"\n",
    "- Who's treated as ego agent (aka. where are metrics evaluated): \"EgoTrackId\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Lets define the secnario:\n",
    "param_server = ParameterServer()\n",
    "param_server[\"Scenario\"][\"Generation\"][\"InteractionDatasetScenarioGeneration\"][\"MapFilename\"] = os.path.expanduser('~') +\"/bark-simulator/interaction_dataset_fortiss_internal/DR_DEU_Merging_MT/map/DR_DEU_Merging_MT_v01_shifted.xodr\"\n",
    "param_server[\"Scenario\"][\"Generation\"][\"InteractionDatasetScenarioGeneration\"][\"TrackFilename\"] = os.path.expanduser('~') +\"/bark-simulator/interaction_dataset_fortiss_internal/DR_DEU_Merging_MT/tracks/vehicle_tracks_013.csv\"\n",
    "param_server[\"Scenario\"][\"Generation\"][\"InteractionDatasetScenarioGeneration\"][\"TrackIds\"] = [63,64,65,66,67,68]\n",
    "param_server[\"Scenario\"][\"Generation\"][\"InteractionDatasetScenarioGeneration\"][\"StartTs\"] = 232000\n",
    "param_server[\"Scenario\"][\"Generation\"][\"InteractionDatasetScenarioGeneration\"][\"EndTs\"] = 259000\n",
    "param_server[\"Scenario\"][\"Generation\"][\"InteractionDatasetScenarioGeneration\"][\"EgoTrackId\"] = 65"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create the scenario\n",
    "scenario_generation = InteractionDatasetScenarioGeneration(num_scenarios=1, random_seed=0, params=param_server)\n",
    "scenario = scenario_generation.create_single_scenario()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Initialize\n",
    "sim_step_time = 0.2\n",
    "sim_time_steps = 5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# TODO maybe someone finds a way to reuse one plot \n",
    "\n",
    "# Run the scenario in a loop\n",
    "world_state = scenario.GetWorldState()\n",
    "for _ in range(0, sim_time_steps):\n",
    "    world_state.PlanAgents(sim_step_time)\n",
    "    fig = plt.figure(figsize=[10, 10])\n",
    "    viewer = MPViewer(params=param_server, use_world_bounds=True, axis=fig.gca())\n",
    "    viewer.drawWorld(world_state, scenario._eval_agent_ids)\n",
    "    world_state.DoExecution(sim_step_time)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Replacing an Agent\n",
    "\n",
    "Based on the above, we replace one agent with another agent model. For this, we just add a parameter to the server. Here we chose the replate the agent 67 with an IDM with standard parameters."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Insert IDM Agent\n",
    "param_server_idm = param_server\n",
    "param_server_idm[\"Scenario\"][\"Generation\"][\"InteractionDataset\"][\"BehaviorModel\"] = {\"67\":\"BehaviorIDMClassic\"}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Override the scenario\n",
    "scenario_generation_idm = InteractionDatasetScenarioGeneration(num_scenarios=1, random_seed=0, params=param_server_idm)\n",
    "scenario = scenario_generation_idm.create_single_scenario()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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h0OuO4+TcY+mUOpYWAAA4NRE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzSj/uJ2DZ/nPOUXr79qJuE25p0ZiVK0foGQEAcGoieEZQevt2hceOLfo2AABgeLFJCwAAmEfwAAAA8wgeAABgHsEDAADMI3gAAIB5BA8AADCP4AEAAOYRPAAAwDyCBwAAmEfwAAAA8wgeAABgHsEDAADMI3gAAIB5BA8AADCP4AEAAOYRPAAAwDyCBwAAmEfwAAAA8woGz969e7VlyxYlk8nj8XwAAACGXWmhK4TDYaVSqcB3uG7dOoVCIZWVlXmn8ePHq6Sk5JieKADg5OU4jndKp9MKh8OBXhdisZi6u7uVTqe920ajUdXX1xe8bX9/v1KplMrKyngNQv7gcRxHvb29amhoUFdXlxcwkUhEoVAo523GjBmjvr4+9ff3q7u7W4lEQuPHjw/0ZDZt2qTS0lJfLNXX1w/6WACA4jmOo0Qiof7+fpWUlKiysrLgbXbv3q0PPvjAiw7HcTRx4kS1trYWvO27776rjRs3KhQKKRQKKRwOa8qUKZo2bVrB2x45ckQffvihdzv3FCR4du3apS1btiiRSEiSIpGIpk6dqra2toK3TSaTCoVChJIhBYPnwIED6u/v906JRELJZNIXJpFIxBcpkUhEtbW13ueJRML7Yc33WOFwWPF4XEePHvUe76yzzir4RTiOox07dgx4LuXl5cQSANPS6bTS6bRKSwsO2GvHjh3asGGD7294S0uLpkyZUvC2NTU1amlp8f6Wh0KhQKEkSe3t7Wpvbx/w99iNp8zRm+x/V1ZWqr29fcDlH374oS++3K/HfQ2IRCJqaWnxgiyVSnmBF8S2bdu0ZcsWSfLur729XZMmTSp4W8dxeO05AeX9DQmHw1qwYMGA89PptBKJhPcOITOG+vv7FYvFfP/OfCeRGSTZn1dVVam+vt53WRCO4+jw4cO+x0qlUjr//PMD3Xb//v2+51JSUsIPK4ATUmdnpzZv3uz9vUulUmptbdXs2bML3nbChAlqbGxUSUmJUqmUksmkksmkDhw4oGQyqUQikTM+ss8rdHnQ67tvdN2AyvX5YOdlXz/zNcn93A27zAjK/jjYeX/wB3+gqVOnKp1Oe/cZiUQC/R91dHRo+/btvvtta2sLvLUDI6PwW4IcwuGwysvLVV5eHvg2juMomUz6oiQzlLq7u3NeJinnCFL2v5ubm30/rEGDJZVKaevWrb7HjEQiuuCCCwreNp1Oq6enp+BmPgDI1NPTo927d6u7u1uxWEw9PT0aO3as5s+fX/C2dXV1mjNnjsLhsPfms7+/X++9954XMNkn98XfPYVCIZWWluY8uW/4suPCfcMaJEaCBox7GimZm+5yfcz15jx7K8ZgUZTrMvf7M2vWLE2fPt0XYVVVVYGe8zvvvKPdu3f77re1tVVjxowZse/TqWJIwTMUoVDI+4EohjsMmSuGent7deTIkQGXp1KpAT+Y+T5fuHChIpGIt8kt6CTtRCKhNWvW+B4zGo1q6dKlBW/rhEJyQiGF0+mivh8ATn6JRELxeFx1dXVqampSVVWV9wYylUqpr69P8Xh8wCnzfEmqqKjwTmVlZSotLVV5ebmqq6tzxkwkElFJSckpMy8lcweaYhQKJXd+aqFQChpMmW+YZ8yYoSlTpvgeM+imw46ODu3bt8/3GM3NzYHmO50KjlvwDJU7oS7of7gk37ueXKHkVn32D3FJScmgI0iD/fu8887zPWbQ3ff7Ghr0f9dco3AiodLeXpX29Khq71613X//kL5PAI4vd4S3u7vbG6kJh8OaO3du3tulUimFw2GNGjVK3d3d2rlzpy9mEomEysvLfTFTUVGh2tpa7/Py8vKi3zwiuKGGUjqdHrAlo1AouW+Yc4WS+7Gvry/nZaWlpb4Rsvb2djU1NfnuP8jcLknasGGDDh8+7HuMSZMmqaampqjvwYnshA+eoRjqJrfseUmZn3d1deXcFCdp0BjqW7ZMkZISlfb0KPK7qCnt6VFJX58qDh7Ukr/9W6XKy5WsqlKislLKM6k7U1dXl9asWeN7vJqamkB7PAAYHr29vVqzZo2i0ai3m3Rtba2kj/6euHuqujHkfh6Px1VZWaloNKrq6mrV19cPGKlh8/jJKRwO5wyl/v5+dXZ2qq6ubsCmspKSkpxTPoYjlCKRiI4cOeKbepErlCSpublZY8eO9Y1YBf053LRpk7q7u32jWRMmTAi8Ge94MRk8Q5FZ9NXV1YFu4ziOUqnUoJO3+8aOVWzUKCWrqpSsrPzoY1WV0qWl3qhO9seuUaMU/90eZ5kRlbnJLRqN6qyzzvI9Zr494DJ1dXVp/fr1vjCrqakJtOcBYFUqlVIsFlMsFlNvb2+gvZaqq6u1bNkyL2ZisZi2b9+ud955R7FYTJK8GKqurlZzc7Oi0aiqqqoC/77Chvfee09bt271bUrM3MOspKTEt9kxEol4b9rLyspUWVnp2/zl/v0Oh8NenBQbStn3lf2xsrJSvb29SiaTeUNJkhobG1VTU/P7176+PqUDTtfYvHmz4vG477WusbGxqAGLoAieY5A58S/XJre9jz6q8NixA85Pl5T8PoB+9zHhfqyp0cGDBwdEVPbeBrk2te3atWvAZdnb6isrKzV9+nRfnAWds9TV1aWtW7f6HrO6uprJdDhpOY6jF154Qb29vb5Rl8zdit3RmsxRGjdw3NtVV1crGo1q1KhRam5uVnV1NSM18MTjcW8UJ5dUKuXN3cqWuQyAy9277cILLyx6a4Y0cE/r7M+PHj2a87LMUBpsflJVVZXKysqUTCbV09OjSCQyaChJUkNDg3p6erxQOnr0qEaNGhXoa9q6dau395z7HPIheD4G4VRKZd3dKuvuHnBZet8+jbvrrgHn55pElxktuSZvuyM/+SZsu+8cDh8+XHC3/LKyMo0ZM8b3mIlEIlDwHD16dECQVVVVKRqNDu2bCAzCHa2JRqMFR1JCoZCWLFnivWFx5+Rs3brVFziSvKiJRqOaPHmyF0eM1qAQd4/joXC3JOQy1KAeyrQPKXcoZUZRdihlvqnOtwRAZii5WzPc+Uf5vsbKykql02kvlNxpJoMheE4SQ5lE5/6i5NrclrkSdvb5juMU3MstGo16/3Z35c/3g+leFovFdOjQIfX396uurk4zZ84s+HV0d3fr0KFDvufApE1k2rx5sw4ePKhYLKa+vj5VVVVpyZIlOecQZM6tyZxf09vbq4qKCt+cnEmTJikajTJag2NyLMEzmGPd0663t1fhcNhbiiCIkQil/v7+IYVS5hvnzPPyIXgMy9zkVszksXzzkrJXwnYvK3b17WLiLZFIDFjxe+zYsQX3hpE++qV2h1Xdx+Qd+YnP3YwU9I9xTU2N6urqvDkyjuOop6dHe/bsGbApynEc39waN2qqqqpOmd21cXwVGnkYiqB7X+Vy8OBBvfLKKwqFQt5cG3e5glzzidy/2+55paWlqqmpCTxCP1KhFI/HB2x2yyfvd+zIkSN6+umnfS9chXbTzpxci5OT+0NfUVER+DYjtfq2+3lbW5tvXlLQd9vuvKPMx2xpadGcOXMK3tadO1XsY2Jo3nvvPe3du1e9vb3q7e1VaWmpFi1alHeTqfuzlUwm1d3drR07dngL+VVUVHibodzRmurqag45g+NuJIKn2F3mM8XjcZWUlPjmFLnziPLJnEtUXl7uLctSSF9fn/e3tNBmquzHG0ooDSZv8NTV1WnZsmU5541kr2eTb3JtkFCyGEnhlhalt28v+jYnoxNx9W13UvXixYu9TW7ucvZBdHZ2atOmTb7HbGtr09SpUwveNp1Oj/gqsicqd3TGDZeg7wTr6upUU1Pjrbvl7q7rrk/T29vr2yPKPYJ25tyapqYmb+SG0RqcKILuGFKMYwmeRCIReC+qTJm3KeZv26pVq9Tf3+877pnbCe7rhru+VK6/6cVEUj55g6enp0dvv/22Fi9eHPgOMyfX5nqxcmdjZ19nsEX/8r2Yneh/0MasXPlxP4UT2rGuvp0rkjJX3868PHtbcKERpbKyMjU1NWny5Mm+xwwa5u+99542bdrke8yWlpaTbvd/d+QuHA4H+n/atGmTt/utGy5tbW2DBk8ymfRixj1l/9u9L3fEpr6+3gsbRmtwonN3P3cDfiihkcuxBE8ymQz8xm8wxWxSy95N3T3EiTtFwpW9R1r2wWHdv6cVFRWaP39+0SM/eZ9xRUWF2tvbA91RLBbT6tWrfS8c0WhUM2bMKHjbzHf6uUKpt7c37x5IQUaQMvdAwsntRF99u6SkRFOnTtWUKVN8jxN0E+GWLVv0wQcf+MI+lUqpsrJS48eP17hx4wrex549e7Rv3z7feY2NjYFu++6772rbtm1KJBLeH5oZM2aoJcDoY1tbm9rb21VaWurtPdHb26udO3fmDBr366qoqPD+TxsaGjRx4kTvvGOZq4CT29GjRxWPx5VOp5VKpZROp9XQ0BBorbSenh6l02nv9/PjCuNQKKSzzz5bsVjM9/egr6/PN//EjQB3dDh7V3T3oKuuYqYcZHN/t49F0Deq7v9bEPn2SHO/P729veru7lZXV5fG5lj2JZ+CR0tvaGgIdEdVVVX65Cc/OWDTQxCxWEzr1q3zvWhUV1fnXfzLjaRcm9rc3eNyBZSkARFU6MWM+Rsnv5FYfTvIz1jQEaXMIdu2tjZNnDjRu183ECorKwM///Ly8gFLwgd9R9jc3KxJkyb5DiTpcpfOzzxlbr7KjJm+vj5vqNqNmWg0qrFjx3rnsffT8ePO0cg8YnnQvR337t2rrq4u320nTJgQ6PWho6NDu3fv9t127ty5gUY7Ozs7tX//ft9BR6uqqgIFz44dO7Rr1y4vJkpKSrRgwYJARyzv7e2VJG8l5GP9Ga2rq1NdXV2g62a+tg22Vk5fX59XVH2rAAATgElEQVQmTpw45OczHHuNBQ0ed3BiuEa2pN//PS/WsL11CoVC3tLoxaqoqCh6MTx3c0hfX5+2b9/ue/Gora3NOdExczftXKGUuZt25nPJ3E07aCwN1zZHfHxGYvXtnp4eHT58eEBEZR7wNvvnKh6PK5lMqqKiQocOHdLhw4e955f90V0wz/39yPwZdEMk87x8R9TOdXKfpzvZ3B1mdoOmrq7Oi5mKigqTc/OOlbsLfGYA1NfXB/oZ2759u/bv3++77ZQpU9TY2Fjwth0dHdq1a5fvyOUzZ87UhAkTCt7W/fkIh8O+//sgpkyZotbWVu+I6+5jBzF16tRAc+ZymTFjhreFwY2IoI+7detW7dmzxzd/b8GCBYFGFOLxuLe791B+/oe6qb8YwxE8Qd9AjUTwuCN3xTohxopLS0s1evToId02EomooaHBt2mit7c3Z/Bk7qYtfTSy5C645+4y7c4TyJTviO25XsDcyVn5Nq3lCqWPc9gVw6PQ6tuDSafTOX/GEomEt26R+2bCHYrO9fHw4cOKxWJe9IRCIUWjUe+5ZF4387mWlpb6djqorq5WJBLxJhy71xns3W4qlfLuOzvERlLmpg735P4+FbJv3z7fqEUqlQo8arFp0ybt3LnT97izZs1Sc3Nzwdu6mxszRy3cI5wXUltb6+0J656C7ho8d+7cQEs55DJx4sQhjygcy6aX4eJGRFBz5szx9uR038AEDbyNGzeqs7PTG1WKRCJauHChRo0aVfC2bhyM9FYF9w15rhWcg84zKiZ4httJHTzHory8PNAfmVzc6u/p6fFeZGpqagb8Ucg1Z6S3t9dbDC/XROp87/ILTawtNpSIpJNfOBwedIS02He47ou3ewqyIJck7dq1SwcOHFAqlfK2kwfdw2rjxo3asWOHb17A7NmzA837Wb9+vXbs2OELpaDx0NHRoQ8//NAXANOnT1dTU1PB2yYSCfX19Xm3K2aOX0tLi5qamnwjFkFveyyjFg0NDYGnGWD4vPHGG0qlUr6j2GfuUZR5WrBggST/3NSgm1/+7//+zxvBc/++L1y4MNDmMHfOYZBRpXnz5mnGjBk5R3Hdkd7sTWmZo7ypVCrwJrr+/v5jni+UrZhRwkyhfE9k8eLFztq1a4/leZl1+PBhb30X9zR69GgtWrSo4G3d3WyzJ1JnT6wdbFQp87zsBf+Czh1hUwNOFO5eGJlLBhQTEMBIisVievHFFweMemS+6GaOjLgL97l/b7MDqbq6umC0um+YE4lE4In7r7zyig4ePOiNKrmxlD2Xb7DHyx7tGS7uAXUlDdtmrbKyMl144YU5LwuFQq87jpNz1/KTfoTn41JfX6/TTjttSLc9cuSINm7c6Jvc3dzcrDlz5hScWOtuOnCHPDMjibWScDLi5wonssHmoGTvNeUa7ECgblCkUiktX7487ya2oSz+esYZZ6j/1VeVKi1VMhpVqqpKFQE3461evVpdXV2+6RULFy4MtEJ/5oF2c5k0aZIikYg3ohqPx9XX1+fbS83dTT7XThK5vsdD3SWf4PkYjBs3zts92J3kGnTIb9euXVq/fr1vIvWkSZMCLx/gPiZrJQFAYbmOYD4UmS/cI7HUQrKjQ0f+3/+T3MhJpXQwkVC4ulqh+nqFR41SePRohRsbPzqNHatwfb3CDQ06o6FBTkuLktGokqWlSiaTgTfDvfDCC+rr6/OtObZgwQIv1kpKSgLN/xpsh6LsSEokEoH2tMuF4PmYuRNHg5o8ebImT57s++EIGhXbtm3Tu+++6wuSCRMmBJrvMFJrJQ22DAAAnAiGew7KSE1ITh84IEUiCmfMuXMcR0qn5XR1KXXokJKbN0vJpJRKSSUlH53cEdZ0+qPzQyGFamt1pKVF9b/8pe/+clm2bJlvxfxEIhF4gvhzzz2nVCrlG1lasGCBamtrh/x9yIfgOUkNZfG9lpYWTZgwwRctQQ8qumPHDu3cudMXJ+PGjcu7lsZIrpWUfR5rJQEYCX19fcN6aIiR2t3cOXToo2jJEAqFfh82koL8hXR+Fz7JdeukeFwqEDz5dqPv7+/33tTn+vu8bNmyAesNBX3D+9xzz0mSb2Rp/vz5eW9D8JxC8u0JVEhjY6Oi0eiA9YnycX8R9u7dq/379/sCZezYsTkn07FWEoATibsI4XAZ6vyTQlIHDsgZhoOUhsJhOaGQnHRaofr6Id9PX1+fnnvuOW9Cd/ZR2MvKyrw5q5kjPEeOHPE+d9f8yuWcc87xjSq560TlQ/AgkKGGkiTV1NT41jKKxWI5VwKWBq6V1NnZqZ6eHt9aSe4xlDKxVhKAkRCPx4f1/obryN/ZnL17A43gBJJOK1xVpdAxzDVyF2B0j8g+2GRuKfcxtNy93jJfE5YsWeK9bgxlcUaCByOutrZ2yNtkQ6HQgLWSWltbB0yCy7WJ78CBA+rr6/MFS3l5ufcugLWSgOPDffHKdcrcccNdQyrf9XOd3IPbur97mR/d01D3Bqyrq9OhQ4e8F+7BDm4Z1EgtxJjavVsarsnQyeQxje5IH60LFFS+Y2i5O9mk02n19PQE2s1+MAQPTmiZe7QVKxaLad++fb6gmTVrljdJO9+un0ePHvWNAAVZK6mvr883L6nYtZKy/1CzuzaKkfmueDhO7ouQ+/mx3pe7bk3moS2GenLXmnH/7b556enp8b1RyTxlrk+THUTZcZT5uzht2jRNnz5d0u9Hkt1dqrP3JIrH477lPzLXt3GXESlm3mUx0nv3enN1jlkqpXCOoxUUY7gnexe7WnYuBA/Mam5uHvIq3Lt27VJnZ6dvraTTTjtNjY2NBddKyl4e/ljWSir93S6itbW1XqAd62mkFhg7VYxkGASNh8FGQoqNCff67s9q9uXu+lvHenJf8Ivh7vmZ+fXV1tYG2iSU/TuYvQNF9kTZvr4+dXd3+y5zP5dUMIxqa2s1evToAZdnLgHiRtJQ38AVkj54UE53t9L9/d5E5VBJyUejPiUlH+19FfD/wEkmFS7ySOTZhuOI7Jkcxznm+U8ED5DD9OnTvXd17gta0D8W77zzjvbs2eObSD1v3ryiDgng/qGMx+Pq6upSRUWF73ARmSf3eoNdnn1yV4M9lmCSch+81P0Y9Lxir19sUAzH5pLsk6S8kVDsKXOkIvMAm0O578F+RnN9zUGXgNi3b59isZiSyaR32wkTJgTatLBhwwbt27fP9/8wZ86cQAc73bp1qw4ePOj7+qZNmxYoeNzfQffrjEQimjt3rkaPHl1wz1T3GFju9zJz03euo5e7ozrZEZVKpbwJuplxdODAgYKjS0MZ3a390Y/Uv3at0nv3Kr1nz0cfDx78KISOHJGSSTmRyO93Q3ecAbuoh9w4SiRUMsS1blxurA4X9+/psSB4gAKKXStp4cKFkvwLaQUdxn711Vd19OhR35B6W1tboIPr9vT0eH+s3VOuPdHcF59iT+7IU+YBSDPfwWX+O9d18n0Mel7m5MZiwiB7E8ixjlYMVXd3t+LxuC88GhoaAv18vP/++zp48KAvXqZOnRroZ+ONN95QZ2en73s1b968QOHR09Ojo0eP+r4HQU2ePFkTJkzw3TbopF334J1Dkfk76EZI0Lkzb775pvbu3euLlblz56o+wJwWdz6R+3n2+jSZn7vzBHNd5obwYCNKOecrzZmjqvnzB4/eeFzpQ4eUPnxYjvvx8GGlDxxQas8epTs7ld6//6P1fCSVLs55dIbAhmvBRlc6nSZ4gBPVUNZKOv300wds9gr6h/qDDz7Qnj17fJEyZ86cAWslZe8JJ320ztKRI0d8sdTY2BjoXXxvb683odP9Y1tRUREoEt0Rp8wRnaBR4c6RyBy5cXdxLaSzs9N3pPR0Oq2mpqZAL2rvvPOOOjs7fbedN29eoNVkd+7cOWDUoqKiItDPiHvU+szbBjnCuiQtWrRoyKEW5ACwgwl6JPeRMpRDNJx++uneCKv7uxj0+/zqq6/q8OHDvjCZO3du0aO7mW+Wco0uxWKxnJe5UZAvlMpqaxUZPdp3WdUI7ViRGcjFHIm90H0NFcEDnECG8gfalbkZrlhVVVUDRnOCLrb2/vvvq7OzU9Lv/6jNmjUr0PLv69ev1+7du30jOvPnzw+0+ndHR4f27NnjC4CZM2cGGrVwY8mdCFnMKF57e7taW1sHjCAFMdT/H0kacwyTSJmzVZxQKOTtSBA0diTpzDPPHLAJLOjv8qpVq9TT0+MLlNmzZwc+KrnkH9HKNV/JXccs12WZgVQwmjI+H+xnf+bMmWptbc0ZbtnH0nKPp+X+Tma/6Umn08NyOA6Olg4AwMcse+eGRCKhUaNGBdqMs2rVKvX39/sCZfbs2YFjK3tEK180ZQeMG4eDbmobJJrybW7P9TjRaDTQ5luOlg4AwAnMnd80lIUJP/GJTwwIhKAjIqtWrfLWF3OjZObMmYE2DWcGymATuzMPRp15mbv5LciIUm1trSKRiHeQ0qFu2iJ4AAA4iQ1l1WHXaaedlnPSdBCrV6/27Y0aiUQ0Y8aMQLHljmgNFkruch3Z57s7ZmSH0ejRo9Xa2pr3MQkeAABOUcXuWJFp/vz5A4Il6HyxV1991dsbzT1Nmzat4Hw4d02l7FGjICNSBA8AACjaseyFN3v27AEjOEFHltauXTtgjaMJEyYUvB3BAwAAjqti9j7LNm3atAEjS0EQPAAA4KQQCoUC7a2VC0cnBAAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAPIIHAACYR/AAAADzCB4AAGAewQMAAMwjeAAAgHkEDwAAMI/gAQAA5hE8AADAvJDjOINfGArtk7T9+D0dAACAIWtxHGdsrgvyBg8AAIAFbNICAADmETwAAMA8ggcAAJhH8AAAAPMIHgAAYN7/BwlRIpViC/RkAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# TODO maybe someone finds a way to reuse one plot \n",
    "\n",
    "# Run the scenario\n",
    "world_state = scenario.GetWorldState()\n",
    "for _ in range(0, sim_time_steps):\n",
    "    world_state.PlanAgents(sim_step_time)\n",
    "    fig = plt.figure(figsize=[10, 10])\n",
    "    viewer = MPViewer(params=param_server, use_world_bounds=True, axis=fig.gca())\n",
    "    viewer.drawWorld(world_state, scenario._eval_agent_ids)\n",
    "    world_state.DoExecution(sim_step_time)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "That's it. We now have replayed one slice of the interaction dataset in bark and inserted an IDM agent, that is abel to follow the given traffic."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
